Machine Learning Engineer, Foundation Model Services

Do you feel you think differently you are eager to break status quo are bold and ambitious arent afraid to take risks and are passionate to build the best of class technology. If yes what better place to be at and do this than Apple At Apple we think different we push the boundaries of computing and intelligence. We build products that bring smile to peoples face. nnFoundation Model Services team within Machine Learning Platform Technologies organization is the back-bone of Apple Intelligence. It builds frameworks services and tools that power the largest Apple foundation models on servers. Our Infrastructure powers a wide gamut of services at Apple including Apple Search Apple Music AppleTV AppStore iMessages Photos u0026 Camera Spotlight Safari Siri and upcoming ever exciting Apple products serving millions of queries every day with incredible low latencies drawing every ounce of compute from our hardware. As part of this group you will get a chance to bring Intelligence to billions of users across the world. You will have an opportunity to make a difference in life of people. You will have a chance to work on optimizing billions of parameter language and vision and speech models using state of the art technologies and make it run at scale of Apple.

* Work closely with product teams to build production grade solutions to launch models serving millions of customers in real time. nn* Work along side Foundation Model Research team to prototype and develop inference for cutting edge model architectures. nn* Build tools to understand bottlenecks in Inference for different hardwares and use cases.

5 year industry experience in ML technologies (LLMs Machine Learning NLP Information Retrieval Statistics).nExperience with high throughput services particularly at supercomputing with running applications on Cloud (AWS / Azure or equivalent) using Kubernetes Docker in building and maintaining systems written in modern languages (eg: Golang python)nBachelors degree or higher in Computer Science or related technical field.

Familiar with one of the popular ML Frameworks like Pytorch with fundamental Deep Learning architectures such as Transformers Encoder/Decoder with Nvidia TensorRT-LLM vLLLM DeepSpeed Nvidia Triton Server etc.